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Real-world

Benchmarks

Task NameDataset NameSOTA ResultTrend
Motion MagnificationReal-world (test)
Motion Error0.26
78
Prototype SelectionReal-world datasets
Average Rank1.93
54
Anomaly DetectionReal-world datasets
AUCROC0.921
33
Peg InsertionReal-world
Success Rate91.7
25
Articulated Joint EstimationReal-world dataset
mAP (5° 5cm)92.23
24
Part SegmentationReal-world dataset
mIoU (75%)98.79
24
Clean tableReal-world
Success Rate70
21
ProCams simulationReal-world Novel Viewpoints
PSNR26.1
16
ProCams simulationReal-world benchmark dataset Trained Viewpoints
PSNR26.65
16
InsertionReal-World
Success Rate95
16
Pick & PlaceReal World
Success Rate94.12
15
Drawer openReal-world Drawer open 1.0 (test)
Drawer Open Success Rate100
14
RMFS Order Allocation and Robot SchedulingReal-World Medium (test)
Objective Value653.41
14
Surface Normal EstimationReal-world Average
MAE (°)12.54
14
Semantic SegmentationReal-world
Dice0.5955
14
Locomotion traversalReal-world
Gap Distance120
13
Anomaly DetectionReal-world
Average Time Cost (s)1.1
13
Hang CupsReal-World Unseen
Success Rate88
13
Open drawerReal-world (test)
Success Rate96
12
ManipulationReal World OOD
Success Rate80
11
StackingReal-world
Success Rate85.7
11
Mosaiced and PAN image fusionReal-world
QNR0.8709
11
Robot ManipulationReal-world Distractors tier
Success Rate45
10
Stack BlocksReal-world
Success Rate75
10
Modular Robot Path Planning and ExecutionReal-world (val)
Simulation Cycle Time (s)1.27
10
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